We present a review of methods for optimal experimental design (OED) for Bayesian inverse
problems governed by partial differential equations with infinite-dimensional parameters …

We propose a fully-corrective generalized conditional gradient method (FC-GCG) for the
minimization of the sum of a smooth, convex loss function and a convex one-homogeneous …

In this paper we consider a problem of initial data identification from the final time
observation for homogeneous parabolic problems. It is well-known that such problems are …

A class of generalized conditional gradient algorithms for the solution of optimization
problem in spaces of Radon measures is presented. The method iteratively inserts …

This work studies the inverse problem of photoacoustic tomography (more precisely, the
acoustic subproblem) as the identification of a space-dependent source parameter. The …

We propose an accelerated generalized conditional gradient method (AGCG) for the
minimization of the sum of a smooth, convex loss function and a convex one-homogeneous …

We consider an optimal control problem governed by a one-dimensional elliptic equation
that involves univariate functions of bounded variation as controls. For the discretization of …

We analyse a solution method for minimization problems over a space of R d-valued
functions of bounded variation on an interval I. The presented method relies on piecewise …

Piezoelectrics have a wide range of applications in industry, everyday life and research. This
requires an accurate knowledge of the material behavior, which implies the solution of …